Introduction

This course is written specifically for one of my friend and not for commercial purpose. This course talks about neural networks from a programmer perspective so it contains a lot of programming practices. Due to my limited English, the first version of this course will be in Vietnamese. I will try to translate it to English later.

Syllabus

Neural Networks Spring 2016 [NNS16]

1. Overview
2. Perceptron
3. Linear regression
4. Logistic regression
5. Feed Forward Neural Networks
6. Back propagation algorithm
7. Modular backprop
8. Training Neural Networks
9. Convolutional Neural Networks
10. Recurrent Neural Networks
11. Long Short Term Memory
12. Auto encoder
13. Reinforcement learning
14. Hot trends in Deep Learning